{"id":"W4284990268","doi":"10.30798/makuiibf.1033816","title":"A STUDY ON FORECASTING THE IMPACT OF COVID-19 ON EMERGENCY SERVICE IN A PUBLIC HOSPITAL","year":2022,"lang":"en","type":"article","venue":"Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi","topic":"Statistical Methods in Epidemiology","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Pandemic; 2019-20 coronavirus outbreak; Medical emergency; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demography; Medicine; Geography; Sociology; Virology; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001893248,0.000555292,0.0004843373,0.001029416,0.0002772479,0.0007056224,0.0006278972,0.001021457,0.0009284764],"category_scores_gemma":[0.006392777,0.0002643823,0.0008860349,0.0009289272,0.0002375517,0.0009296622,0.000549069,0.00119129,0.0001634875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045238,"about_ca_system_score_gemma":0.001063481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03639705,"about_ca_topic_score_gemma":0.01550267,"domain_scores_codex":[0.9994339,0.0002161797,0.00003771019,0.0001119742,0.00008890979,0.0001112376],"domain_scores_gemma":[0.9969764,0.001978213,0.0003727473,0.0001065156,0.0003548032,0.0002114188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005396485,0.0006687988,0.4403508,0.0001605529,0.0002861049,0.0009295138,0.0003418709,0.5263572,0.001083278,0.002927897,0.003424725,0.02292946],"study_design_scores_gemma":[0.0000238207,0.0003171135,0.1077422,0.00003517085,0.00005929761,0.00008737999,0.0006474265,0.8888412,0.0006105685,0.0008375669,0.0007654733,0.00003287962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951746,0.0002352864,0.002519679,0.0006748576,0.00003962481,0.00002340463,0.0006243955,0.00003225837,0.000675999],"genre_scores_gemma":[0.9968705,0.0002022052,0.001651254,0.00003696847,0.00003247674,0.00001969383,0.0008686209,0.000005043995,0.000313198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03639705,"threshold_uncertainty_score":0.07237035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2704859603415759,"score_gpt":0.4389869350203844,"score_spread":0.1685009746788085,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}